Search tips
Search criteria 


Logo of plospathPLoS PathogensSubmit to PLoSGet E-mail AlertsContact UsPublic Library of Science (PLoS)View this Article
PLoS Pathog. 2017 February; 13(2): e1006225.
Published online 2017 February 17. doi:  10.1371/journal.ppat.1006225
PMCID: PMC5333916

A high-throughput genetic screen identifies previously uncharacterized Borrelia burgdorferi genes important for resistance against reactive oxygen and nitrogen species

Denise M. Monack, Editor


Borrelia burgdorferi, the causative agent of Lyme disease in humans, is exposed to reactive oxygen and nitrogen species (ROS and RNS) in both the tick vector and vertebrate reservoir hosts. B. burgdorferi contains a limited repertoire of canonical oxidative stress response genes, suggesting that novel gene functions may be important for protection of B. burgdorferi against ROS or RNS exposure. Here, we use transposon insertion sequencing (Tn-seq) to conduct an unbiased search for genes involved in resistance to nitric oxide, hydrogen peroxide, and tertiary-butyl hydroperoxide in vitro. The screens identified 66 genes whose disruption resulted in increased susceptibility to at least one of the stressors. These genes include previously characterized mediators of ROS and RNS resistance (including components of the nucleotide excision repair pathway and a subunit of a riboflavin transporter), as well as novel putative resistance candidates. DNA repair mutants were among the most sensitive to RNS in the Tn-seq screen, and survival assays with individual Tn mutants confirmed that the putative ribonuclease BB0839 is involved in resistance to nitric oxide. In contrast, mutants lacking predicted inner membrane proteins or transporters were among the most sensitive to ROS, and the contribution of three such membrane proteins (BB0017, BB0164, and BB0202) to ROS sensitivity was confirmed using individual Tn mutants and complemented strains. Further analysis showed that levels of intracellular manganese are significantly reduced in the Tn::bb0164 mutant, identifying a novel role for BB0164 in B. burgdorferi manganese homeostasis. Infection of C57BL/6 and gp91phox-/- mice with a mini-library of 39 Tn mutants showed that many of the genes identified in the in vitro screens are required for infectivity in mice. Collectively, our data provide insight into how B. burgdorferi responds to ROS and RNS and suggests that this response is relevant to the in vivo success of the organism.

Author summary

Borrelia burgdorferi is the causative agent of Lyme disease, the most common vector-borne disease in the United States. B. burgdorferi is maintained in the environment in a complex cycle in which it is transmitted between a tick vector and small vertebrate reservoir hosts. Because of this, B. burgdorferi must be able to adapt to changing environmental conditions. Historically, this organism has been difficult to manipulate genetically in the lab. We have taken advantage of recent technological advances to conduct a global search for genes that enable the spirochete to defend itself against reactive oxygen and nitrogen species produced by the host immune system. Using transposon insertion sequencing (Tn-seq), we exposed a pool of B. burgdorferi mutants to reactive oxygen or nitrogen species and used high-throughput sequencing to quantify the frequency of each individual mutant before and after the stress exposure. We found that genes encoding DNA repair enzymes and predicted inner membrane proteins are important for resistance to RNS and ROS, respectively. Understanding how B. burgdorferi responds to the stresses and changing environmental conditions it experiences as it transitions between its tick vector and vertebrate hosts potentially will identify new targets for interrupting its life cycle.


The spirochete Borrelia burgdorferi is the causative agent of Lyme disease and the most common arthropod-borne disease in the United States. The spirochete is maintained in the environment within a complex enzootic cycle involving Ixodes ticks and a diversity of mammalian and avian reservoirs [1]. As a result, B. burgdorferi must adapt to changing host environments. A number of studies have chronicled how changes in environmental factors such as temperature, pH, cell density, metals, and dissolved oxygen and carbon dioxide levels affect gene expression in this organism [28]. Reactive oxygen and nitrogen species (ROS and RNS) represent an additional and less well-studied component of the host environment to which B. burgdorferi must sense and respond. ROS and RNS are detectable in the salivary glands and midgut of Ixodes ticks following a bloodmeal [9] and are also likely present in the vertebrate host at the tick bite site due to the recruitment of inflammatory cells to this site [10, 11].

ROS and RNS are toxic to B. burgdorferi, although the targets of oxidative damage are different in this organism compared to well-studied model organisms like Escherichia coli [1214]. In E. coli, DNA is a primary target of oxidative damage because of the Fenton reaction, in which hydrogen peroxide (H2O2) reacts with cellular iron to form the highly reactive hydroxyl radical [15, 16]. In contrast to E. coli, DNA damage is not detectable in B. burgdorferi after exposure to H2O2 or nitric oxide (NO) [12, 13]. Subsequent studies suggested that the apparent lack of DNA damage is due to efficient repair mechanisms: DNA damage is evident in B. burgdorferi mutants lacking components of the nucleotide excision repair (NER) pathway after NO exposure, while DNA repair mutants lacking UvrA, UvrB and MutS show decreased survival relative to WT bacteria after H2O2 exposure [12, 14, 17]. Differences in DNA damage between B. burgdorferi and E. coli may also be due to differences in iron utilization. B. burgdorferi can grow in iron-depleted media and does not appear to import iron into the cell [18]. However, a recent study found appreciable intracellular levels of iron in B. burgdorferi and identified a multifunctional ferritin-like protein that binds both copper and iron [19]. It remains unclear what biological role this iron may be playing in B. burgdorferi since no iron-requiring enzymes have been characterized to date [20]. Instead of DNA damage, lipid peroxidation may play an important role in ROS toxicity in Borrelia organisms [13]. B. burgdorferi does not synthesize its own lipids and instead scavenges them from its eukaryotic hosts. As a result, polyunsaturated lipids are present in its membranes and are susceptible to peroxidation [13]. Nitrosylation of cysteine thiols, notably those of zinc metalloproteins, is a primary effect of NO in the cell and thus may be important in the toxicity of this compound in B. burgdorferi [12].

B. burgdorferi also appears to encode a more limited repertoire of ROS and RNS detoxifying proteins compared to E. coli. Genes known to be involved in ROS resistance in B. burgdorferi include a manganese-dependent superoxide dismutase (SodA), a manganese transporter (BmtA), and a riboflavin ATP-binding cassette transport system [2123]. BicA (also called Dps or NapA) is involved in metal homeostasis, and bicA mutants are actually more resistant to oxidative stress under metal replete conditions [19]. The genome also encodes homologs of sulfoxide reductase, thioredoxin, and thioredoxin reductase, none of which have been functionally characterized. The genome does not encode any peroxidases or catalases. Instead, coenzyme A reductase (Cdr) has been implicated in both H2O2 detoxification and thiol/disulphide redox control [24, 25]. Since the genome does not encode glutathione reductase and glutathione is not detectable in the cell, coenzyme A is thought to serve as the primary low molecular weight thiol in B. burgdorferi [24]. Also lacking from the B. burgdorferi genome are homologs of canonical oxidative stress response regulators like SoxRS or OxyR [20]. The Fur/Per homolog BosR has been shown to regulate genes important for oxidative stress resistance, metal homeostasis, and virulence, but its role in the B. burgdorferi oxidative stress response is not well characterized [2629].

Given the biochemical differences between B. burgdorferi and well-studied model organisms, as well as the lack of canonical detoxification enzymes, we undertook an unbiased search for additional factors involved in resistance against ROS and RNS. We exposed a previously described B. burgdorferi transposon (Tn) library to ROS and RNS [30]. We then used transposon insertion sequencing (Tn-seq) to identify Tn mutants that decreased in frequency after stress exposure [31, 32]. Based on the results of the in vitro screens, which identified both previously characterized ROS and RNS resistance genes as well as novel resistance candidates, we generated a mini-library of Tn mutants and used Tn-seq to assess the ability of these mutants to infect both wild-type and superoxide-deficient mice. The majority of these mutants exhibited reduced fitness in vivo. Overall, these studies provide insight into the B. burgdorferi response to ROS and RNS and serve as a first step to begin characterizing its novel approach to oxidative detoxification.


Optimization of experimental conditions for an in vitro Tn-seq screen

The arrayed B. burgdorferi Tn library was constructed in the infectious, transformable B31 5A18NP1 strain background and contains 6,625 Tn mutants [30]. We decided to screen the library for sensitivity against two ROS molecules, hydrogen peroxide (H2O2) and the alkyl peroxide tertiary-butyl hydroperoxide (TBHP), as well as the NO-donor diethylamine NONOate (DEA/NO). NO and H2O2 were selected since they are molecules produced by innate immune cells in vivo [33], while TBHP was selected because it induces lipid oxidation in B. burgdorferi [13]. We began by determining the susceptibility of 5A18NP1 to TBHP, H2O2, and DEA/NO (Fig 1). Because pyruvate in the complex Borrelia growth medium provides passive protection against H2O2 [14], ROS exposures were conducted in a modified medium (Modified BSK-II) lacking pyruvate, bovine serum albumin, and rabbit serum. TBHP and DEA/NO caused killing of 5A18NP1 at millimolar concentrations (Fig 1A and 1B). 5A18NP1 was more sensitive to H2O2, with significant killing occurring at micromolar concentrations (Fig 1C).

Fig 1
Susceptibility of B. burgdorferi strain B31 5A18NP1 to ROS and RNS.

The ideal conditions for the Tn-seq screen would result in the death of Tn mutants with insertions in genes involved in ROS and RNS resistance, but would allow survival of Tn mutants with insertions in “neutral” genes. To identify these conditions, we conducted a pilot Tn-seq study using DEA/NO as the stressor. Although the Tn library does not contain mutants with insertions in many of the known B. burgdorferi ROS and RNS resistance genes, it does contain mutants with insertions in uvrB, uvrC, and uvrD, all of which encode components of the NER pathway that are required for repairing DNA damage after NO exposure [12, 34]. These mutants were used as internal controls. Since Tn-seq relies on the detection of genomic DNA to quantify the frequency of Tn mutants, an outgrowth step was added after the stress exposure to dilute out any DNA originating from bacteria that had died. Exposure of the library to a low concentration of DEA/NO (1.25 mM, corresponding to approximately 50% survival of the parental strain, Fig 1A) resulted in only modest decreases in the frequency of NER pathway mutants compared to the untreated library, in some cases less than two-fold. However, after exposure to a higher concentration (2.5 mM, corresponding to approximately 20% survival of the parental strain, Fig 1A), Tn mutants with insertions in uvrB, uvrC, or uvrD all decreased more than 10-fold in frequency compared to the untreated library (S1 and S2 Tables). Under these same conditions, the majority of Tn mutants in the library changed less than 2-fold in frequency, consistent with the prediction that the majority of the genes in the genome are not involved in NO resistance. Based on the results of the pilot DEA/NO screen, we chose to conduct the ROS screens using 0.25 mM H2O2 and 10 mM TBHP, concentrations that corresponded to similar levels of toxicity for the parental strain (Fig 1).

In vitro Tn-seq screens identify genes involved in NO, H2O2, or TBHP resistance

Two independent cultures of the B. burgdorferi Tn library were exposed to 2.5 mM DEA/NO, 10 mM TBHP, 0.25 mM H2O2, or culture medium alone. The frequency of individual Tn mutants in the treated and untreated samples was determined using Tn-seq. Reproducibility was high between the two replicates in each case, with Spearman correlation coefficients R > 0.93 (S1 Fig). A frequency ratio was then calculated for each Tn mutant in the library by comparing its frequency in the treated library to its frequency in the untreated library (S1 Table). We required each Tn mutant to be represented by at least 10 sequence reads in both replicates of the untreated libraries (out of a total of approximately 5×106 sequence reads) to be included in this analysis. A frequency ratio less than one indicates that the Tn mutant decreased in frequency after stress exposure, suggesting that the disrupted gene is involved in ROS or RNS resistance. On the other hand, a frequency ratio greater than one indicates that the Tn mutant increased in frequency after stress exposure, suggesting that the disrupted gene actually sensitizes the cell to ROS or RNS. An overall frequency ratio was also calculated at the gene level by aggregating all of the sequence reads mapping within the same gene (S2 Table). These two analyses, one at the level of the individual Tn mutant and one at the level of the gene, provide slightly different information, and we took both into account when analyzing the data and deciding which genes to investigate further. In order to prioritize genes for subsequent studies, we considered frequency ratios between 0.5 and 2 (i.e. less than a 2-fold change in frequency) to be neutral.

In all three screens, the majority of genes had neutral overall frequency ratios (Fig 2). We identified 66 genes that had overall frequency ratios below our neutral fitness cut-off value of 0.5 (Fig 2A, S3 Table). Of the three screens, we identified the most genes in the H2O2 screen (37 genes, Fig 2A, S3 Table). Twenty-six genes were identified in the DEA/NO screen, and three of these genes overlapped with those identified in the H2O2 screen (Fig 2, S3 Table). We identified the fewest genes in the TBHP screen (only 16), but most of them were also identified in the H2O2 screen (Fig 2, S3 Table). Many of the genes identified in the three screens have no predicted function and have not been previously characterized (Fig 2, S3 Table). Approximately 20% of the genes that were identified in the DEA/NO screen encode DNA repair enzymes, consistent with previous reports that DNA repair enzymes are involved in NO resistance in B. burgdorferi (Fig 2B) [12, 34]. In contrast, approximately 40% of the genes identified in the TBHP and H2O2 screens encode predicted inner membrane proteins or transporters (Fig 2C and 2D). Twenty-one genes were identified that had overall frequency ratios above 2, with most of these genes being identified in the H2O2 or TBHP screens (S4 Table).

Fig 2
Summary of in vitro Tn-seq screen results.

Validation of a putative NO resistance gene

The DEA/NO screen identified nine genes with overall frequency ratios less than 0.33 in both replicates (Table 1). The genes uvrB, uvrC, and uvrD had some of the lowest overall frequency ratios in the screen (median ratios of 0.072, 0.048, and 0.103, respectively), consistent with their known role in NO resistance [12, 34] (Table 1). A gene encoding a putative ribonuclease (bb0839) also had a low overall frequency ratio (median ratio of 0.074, Table 1). The remaining five genes with frequency ratios below 0.33 encode hypothetical proteins (bba54, bb0617, and bb0267), a putative laccase domain-containing protein (bb0467), and a CobQ/CobB/MinD/ParA nucleotide binding domain containing protein (bb0431) (Table 1) [20, 35].

Table 1
Putative B. burgdorferi genes involved in RNS and ROS resistance.

Having selected genes of interest based on the overall frequency ratio at the gene level, we next looked at the phenotypes of the individual Tn mutants with insertions in these genes. In all cases, the frequency ratios for individual Tn mutants were similar between mutants and across replicates (Fig 3A). We decided to focus on the genes bb0839 and bb0431. We selected two Tn mutants with insertions in each of these genes from the arrayed library. We also selected two Tn::uvrC mutants, two Tn::uvrD mutants, and one Tn::oppA1 mutant for use as controls. The oppA1 gene encodes an oligopeptide permease, and Tn mutants with insertions in oppA1 had neutral frequency ratios (Fig 3A). All individual transposon mutants were screened by PCR at the appropriate locus, and clonal isolates were derived if a mixed population was detected. B. burgdorferi strain 5A18NP1 has a segmented genome containing 19 linear and circular plasmids, some of which are required for survival in mice and ticks [36]. We therefore determined the plasmid profiles of all the individual Tn mutants by multiplex PCR (S5 Table) [37].

Fig 3
Frequency ratios of individual Tn mutants with insertions in putative ROS and RNS resistance genes.

The ability of the various Tn mutants to grow in semi-solid agarose overlays differed, making it difficult to assess percent survival by plating for colony forming units as we had done with the parental strain. Instead, we designed an outgrowth assay in liquid culture to assess the sensitivity of the Tn mutants to NO. A similar assay was used previously to assess the susceptibility of B. burgdorferi to UV and NO exposure [34]. Individual Tn mutants were incubated in the presence or absence of DEA/NO in parallel with the parental strain 5A18NP1. The cultures were then diluted five-fold and allowed to grow until the untreated parental strain reached late log phase (~1x108 cells/ml, requiring three days). Genomic equivalents were quantified by qPCR for recA, and an outgrowth ratio was determined for each strain by comparing genomic equivalents in the treated and untreated samples.

The outgrowth ratio for a Tn::oppA1 mutant was not significantly different from the parental strain, while the Tn::uvrC and Tn::uvrD mutants displayed significantly reduced outgrowth (Fig 4). Two Tn::bb0839 mutants also showed decreased outgrowth relative to the parental strain (Fig 4). The fact that two individual Tn mutants with insertions in the same gene both display an outgrowth defect decreases the likelihood that the phenotype is due to a second-site mutation. However, since bb0839 is the second gene in a predicted three-gene operon, we cannot rule out potential polar effects of the transposon insertion. The downstream gene (bb0838a) encodes a short 182 amino acid protein annotated as a hypothetical protein, but there are no Tn mutants with insertions in this gene in the library. We also tested two Tn::bb0431 mutants and observed a more modest phenotype compared to the Tn::bb0839 mutants (Fig 4). Only one of the mutants reached statistical significance (Fig 4). Treatment of the Tn::bb0839 and Tn::bb0431 mutants with diethylamine (DEA) had no effect on bacterial growth, confirming that the sensitivity of these mutants to DEA/NO was due to the release of NO and not due to sensitivity to the DEA backbone (S2 Fig).

Fig 4
Confirmation of NO sensitivity.

Validation of putative ROS resistance genes

We next focused on genes with overall frequency ratios < 0.33 in both replicates following TBHP or H2O2 exposure (five in the case of TBHP and 22 in the case of H2O2) (Table 1). Three genes (bb0017, bb0412, and bb0631) had overall frequency ratios < 0.33 in both the H2O2 and TBHP screens, and all three encode predicted inner membrane proteins. The other genes with overall frequency ratios < 0.33 after TBHP treatment were spo0J, encoding a chromosome segregation protein, and bb0317, which encodes the permease subunit of a riboflavin ABC transporter previously shown to be involved in H2O2 resistance (Table 1) [23]. The H2O2 screen identified more genes than the TBHP screen, and the strongest phenotypes were for Tn mutants with insertions in genes encoding predicted transmembrane proteins or transporters: bb0164, bb0473, bb0202, and chbB (Table 1). The bb0164 gene encodes a member of the Ca2+:cation antiporter (CaCA) family; bb0473 encodes a putative multidrug and toxin compound extrusion (MATE) transporter; bb0202 encodes a putative CorC-like Mg2+/Co2+ transporter protein; and chbB encodes a chitobiose transporter protein [38]. In addition to genes encoding hypothetical proteins with no known function (bba14, bbc07, bbe29, bbg02, bbk48, and bbk52), we also identified a gene encoding a putative transcriptional regulator (bb0025), glycerol-3-phosphate dehydrogenase (glpD), cyclic-di-GMP phosphodiesterase (pdeA), a fibronectin binding protein (bb0347), a histidine kinase involved in chemotaxis (cheA2), a carbon monoxide dehydrogenase subunit-like protein (bb0556), a predicted sodium/proton antiporter (bb0638), tRNA pseudouridine synthase (truB), and an exonuclease (sbcD) [20, 35, 3942].

As described above, we prioritized genes with the lowest overall frequency ratios and examined the frequency ratios of individual Tn mutants with insertions in these genes (Fig 3B and 3C). In most cases, the genes identified in the TBHP and H2O2 screens were disrupted in multiple Tn mutants, although in some cases the frequency ratios of the individual Tn mutants were variable (Fig 3B and 3C). We decided to focus on bb0017, which was identified in both the H2O2 and TBHP screens, as well as bb0202 and bb0164, which had two of the lowest overall frequency ratios in the H2O2 screen (Table 1). Two of these genes were well-represented by individual Tn mutants in the library (approximately 20 Tn::bb0017 mutants and 40 Tn::bb0202 mutants, Fig 3). Furthermore, the frequency ratios of the individual Tn mutants with insertions in these genes were similar to one another and similar across replicates (Fig 3B and 3C). We obtained individual Tn mutants with insertions in bb0017, bb0164, and bb0202 from the arrayed Tn library, derived clonal stocks if necessary, and determined the plasmid profile, as described above (S5 Table).

We then tested the sensitivity of the Tn mutants to TBHP and H2O2 using an in vitro outgrowth assay similar to the one described above. Tn mutants with insertions in bb0017, bb0164, and bb0202 displayed decreased outgrowth relative to the parental strain after both TBHP and H2O2 exposure (Fig 5). The outgrowth ratio of the Tn::oppA1 mutant, included as a negative control, was similar to the parental strain after H2O2 or TBHP exposure (Fig 5).

Fig 5
Confirmation of ROS sensitivity.

To verify that the disrupted genes were required for ROS sensitivity, we performed genetic complementation in an attempt to restore expression of the disrupted genes in the Tn::bb0017, Tn::bb0164, and Tn::bb0202 mutants. The bb0017 gene is not part of a predicted operon. Since the Tn insertion in bb0017 is not predicted to have polar effects, complementation of bb0017 was performed in cis. The Tn-disrupted locus was replaced with a full-length copy of bb0017 as well as a streptomycin resistance marker by allelic exchange, generating strain Tn::bb0017-comp (S6 Table, DM104). We confirmed that bb0017 expression was restored in the complemented strain by reverse transcriptase PCR (S3 Fig). The H2O2 and TBHP resistance of the Tn::bb0017-comp strain was comparable to the parental strain, confirming that the phenotype of the Tn::bb0017 mutant was due to disruption of bb0017 (Fig 5). bb0164 is the second gene of a predicted operon, so complementation was performed at an unlinked site in the chromosome. A full-length copy of bb0164 linked to its predicted native promoter was introduced at a distant chromosomal site between the genes bb0445 and bb0446 along with a streptomycin resistance marker, generating strain Tn::bb0164-comp (S6 Table, JH511) [43]. Complementation of bb0164 restored parental levels of resistance to H2O2 but not TBHP (Fig 5). The reason for this partial complementation is unclear. The gene downstream of bb0164 (bb0163) had a neutral overall frequency ratio after TBHP and H2O2 exposure, suggesting that the ROS-sensitivity of the Tn::bb0164 mutant is not due to polar effects on the downstream gene (S1 and S2 Tables). Although the phenotype of the Tn::bb0202 mutant was consistent with its ROS sensitivity in the Tn-seq experiments, our attempts to complement this gene have not been successful.

BB0164 affects intracellular manganese levels in B. burgdorferi

Given that bb0017, bb0164, and bb0202 all encode predicted membrane proteins and that bb0164 and bb0202 are specifically predicted to encode transporters of divalent cations, we used inductively coupled plasma mass spectrometry (ICP-MS) to investigate intracellular levels of transition metals in these mutants. We hypothesized that perturbations in cellular levels of manganese (Mn), zinc (Zn), iron (Fe), or copper (Cu) in the Tn::bb0017, Tn::bb0164, or Tn::bb0202 mutants could be responsible for their altered ROS sensitivity, as is the case for the previously studied bmtA or bicA mutants [19, 22]. Strikingly, the Tn::bb0164 mutant exhibited an approximately 80% reduction in Mn levels compared to the parental 5A18NP1 (Fig 6A). Mn levels were restored to parental levels in the complemented strain (Tn::bb0164-comp, Fig 6A). As a control, we measured Mn levels in the bmtA mutant along with the 297 parental strain and, in agreement with a previous study [22], saw an almost complete reduction in Mn levels in the bmtA mutant (Fig 6A). Mn levels in the 297 background were slightly but significantly reduced relative to the 5A18NP1 background (Fig 6A). Zn levels were generally similar between the strains, with only the Tn::bb0164-comp strain exhibiting a slight but significant reduction in Zn (Fig 6B). There were no significant differences in iron or copper levels amongst the different strains (P>0.13 by two-way ANOVA test followed by Dunnett’s multiple comparison test).

Fig 6
Mn levels are decreased in the Tn::bb0164 mutant compared to the parental strain.

Given the fact that bb0164 and bmtA both appear to affect Mn levels, it was striking that mutation of either gene individually would lead to a reduction in intracellular Mn. To test whether the reduced levels of Mn in the Tn::bb0164 mutant were due to an indirect effect on bmtA expression or vice versa, we used quantitative reverse transcriptase PCR to measure bb0164 and bmtA expression in the different mutant and parental strains. Expression of bmtA was not significantly different in the Tn::bb0164 mutant compared to the two parental strains, and the same was true of bb0164 expression in the bmtA mutant (Fig 6C and 6D).

Many putative ROS and RNS resistance genes are important during murine infection

Having identified a number of genes involved in RNS and ROS resistance in vitro, we asked whether any of these genes are required during the murine stage of the B. burgdorferi lifecycle. We generated a mini-library of 39 Tn mutants, broadening our criteria to include Tn mutants that changed more than two-fold in frequency in any of our screens. Many of these genes have not been previously studied in the context of murine pathogenesis. All of the Tn mutants were obtained from the arrayed library, clonal populations were derived if necessary, and the plasmid profiles were determined (S5 Table). The Tn mutants included in the library contained all plasmids necessary for murine infection (lp25, lp28-1, and lp36), with two exceptions (T09TC420, one of two Tn::bb0017 mutants, and T07TC421, one of two Tn::uvrD mutants) [36, 44]. The Tn mutants were pooled such that each mutant was present in approximately equal numbers. In addition to 36 Tn mutants with insertions in genes of interest, the mini-library also included two Tn::oppA1 mutants and one Tn::pncA mutant as positive and negative controls, respectively. The oppA1 gene is not needed for murine infection [45], while pncA is required [46]. The two Tn::oppA1 mutants were added to the library at twice the concentration of the other mutants to more closely mimic the conditions of the full library screen where a large proportion of mutants displayed neutral phenotypes.

We used the mini-library to infect three groups of six wild-type C57BL/6 mice as well as three groups of five or six gp91phox-/- mice, which lack phagocyte superoxide production. We hypothesized that some of the Tn mutants in the library would be attenuated in C57BL/6 mice and that, if the disrupted gene was involved in ROS resistance in vivo, some of these mutants might be rescued for infectivity in the gp91phox-/- mice. After two weeks, the mice were sacrificed, and the bladder, ankles, and ears were collected under aseptic conditions. Pools of organ types were cultured in BSK-II medium to expand the B. burgdorferi population. The initial inoculum was also cultured for a comparable period of time in BSK-II to control for any changes in Tn mutant frequency due to in vitro growth. Genomic DNA was isolated and pooled to generate samples representing all organs collected from the six mice in each group. By pooling DNA from multiple organ sites and mice, we aimed to minimize the effects of the significant bottleneck faced by B. burgdorferi at the inoculation site [45]. We then determined the frequency of each Tn mutant in the inocula as well as in the C57BL/6 and gp91phox-/- organ pools. The frequencies of the Tn mutants were largely consistent between the different inocula (S1 Fig). The frequency of the Tn mutants in the C57BL/6 and gp91phox-/- organ pools is shown in Fig 7.

Fig 7
Infectivity of 39 Tn mutants in C57BL/6 and gp91phox-/- mice.

Reproducibility was good between the organ groups (S1 Fig, Spearman correlation coefficients R > 0.65). Twenty-three of the 39 Tn mutants in the mini-library were present at frequencies below the limit of detection in the C57BL/6 organ pools, including the Tn::pncA mutant and both of the Tn mutants known to be lacking plasmids required for infectivity (Fig 7). The two Tn::oppA1 mutants represented the overwhelming majority of the bacteria isolated from the organ pools (Fig 7, over 97%) and were the only Tn mutants in the population that increased in frequency in the organ pools relative to the inocula. On average, the two Tn::oppA1 mutants together constituted 17 ± 0.5% of the inoculum, while the other Tn mutants each constituted <13% (median prevalence of 1.5%). Tn mutants with insertions in the NO-resistance genes uvrD, uvrC, and bb0839 were all attenuated to some degree in the C57BL/6 mice. The Tn::uvrD and Tn::bb0839 mutants were the most attenuated, present at frequencies only barely above the limit of detection, while the Tn::uvrC and Tn::bb0431 mutants were present at slightly higher frequencies (representing an average of 0.2% and 0.6% of the population, respectively, Fig 7). Tn mutants with insertions in the ROS resistance genes bb0017, bb0164, and bb0202 were also attenuated in vivo, with the Tn::bb0017 and Tn::bb0164 mutants present at frequencies below the limit of detection (Fig 7).

Interestingly, the twenty-three mutants that were completely non-infectious in the C57BL/6 organ pools remained below the limit of detection in the gp91phox-/- organ pools (Fig 7). As was the case with the C57BL/6 organ pools, the two Tn::oppA1 mutants represented the majority of the population isolated from the gp91phox-/- organ pools (over 87%, Fig 7). There were three Tn mutants that showed a slight increase in frequency in the gp91phox-/- organ pools relative to the C57BL/6 mice (Tn::bb0050, Tn::bb0157, and Tn::bb0431), but the differences were not statistically significant (Fig 7).


The B. burgdorferi Tn library represents a powerful tool for conducting global unbiased studies in B. burgdorferi, an organism for which genetic tools have been limited [3032, 45, 48]. In this study, we used Tn-seq to identify genes involved in RNS and ROS resistance in vitro. The genes identified in the screens include both known ROS and RNS resistance factors as well as novel putative resistance factors (Table 1). Using individual Tn mutants from the arrayed library, we showed that mutation of bb0839 resulted in increased NO sensitivity, while mutation of bb0017, bb0164, or bb0202 resulted in increased ROS sensitivity (Figs (Figs44 and and5).5). We also showed that mutation of bb0164 affects intracellular Mn levels in B. burgdorferi (Fig 6). In vivo Tn-seq screens showed that many of the genes identified in the in vitro screens are important in vivo, although none of the mutants included in the mini-library were rescued for infectivity in mice lacking phagocyte superoxide. Since many of the genes disrupted in the mini-library have not been previously studied in the context of murine infectivity (approximately 40%), this study represents a significant contribution to our understanding of borrelial pathogenesis.

The four genes that we identify as being involved in RNS or ROS resistance (bb0839, bb0017, bb0164, and bb0202) have not been functionally characterized in B. burgdorferi. Interestingly, we found that loss of BB0164 results in decreased intracellular Mn levels. BB0164 is annotated as a potassium-dependent sodium/calcium exchanger and is part of the larger CaCA transporter superfamily. CaCA family transporters are found in both eukaryotes and prokaryotes and have been shown to transport a variety of ions in addition to Ca2+ [49]. Secondary structure predictions and sequence alignment with other CaCA family members suggest that BB0164 maintains the 10-transmembrane domain topology typical of transporters in this family as well as many of the conserved residues involved in ion coordination (S4 Fig) [5053]. To date, BB0164 is the second protein that has been shown to affect Mn levels in B. burgdorferi. Deletion of bmtA, a member of the ZIP (zinc- and iron-regulated metal protein) transporter family, also results in reduced Mn levels and increased sensitivity to ROS [22]. Interestingly, neither BB0164 nor BmtA belong to one of the three major classes of Mn transporters that have been previously described in prokaryotes, which include Nramp (natural resistance associated macrophage protein-like) family transporters, ATP-binding cassette Mn permeases, and P-type ATPase Mn transporters [22, 54], suggesting that B. burgdorferi has evolved unique strategies for Mn acquisition.

Mn has been shown to protect against oxidative stress in a wide range of organisms besides B. burgdorferi and to do so via both protein-dependent and protein-independent mechanisms [55]. In terms of protein-dependent mechanisms, Mn can serve as a co-factor for ROS detoxification enzymes such as catalases and superoxide dismutases [55]. The sole superoxide dismutase (SodA) in B. burgdorferi contains a Mn co-factor, and the reduced Mn levels of the bmtA mutant result in decreased SodA activity [56, 57]. The ROS sensitivity of the Tn::bb0164 mutant in our assays is likely not due to decreased SodA activity, however, since Tn::sodA mutants present in the Tn library were not more sensitive to H2O2 in our initial Tn-seq screens (S1 and S2 Tables). This is perhaps not surprising, since SodA catalyzes the dismutation of superoxide into molecular oxygen and H2O2, and a sodA mutant would not be predicted to display increased sensitivity to the product of its reaction. In addition to protein-dependent mechanisms of protection, Mn can also directly scavenge ROS and can form non-proteinaceous complexes with small metabolites in the cell [55]. These so-called Mn-antioxidants are important for ROS resistance in organisms such as Lactobacillus plantarum [58]. Like L. plantarum, B. burgdorferi accumulates high levels of Mn [19, 57], and it is possible that Mn-antioxidants also contribute to ROS resistance in B. burgdorferi.

Loss of either bb0164 or bmtA expression results in decreased Mn levels (Fig 6A). These data suggest that BB0164 and BmtA are not redundant with one another and that the presence of both proteins is required for maintaining Mn homeostasis (Fig 6A) [22]. The mechanism by which BB0164 and BmtA together affect intracellular Mn levels remains unclear. The two proteins could form a complex necessary for Mn transport or mediate sequential steps in the same pathway. Although we showed that bb0164 expression was not significantly different in the bmtA mutant and vice versa (Fig 6C & 6D), it remains possible that loss of BB0164 or BmtA reduces the stability or steady state levels of the remaining protein. Finally, although inactivation of either BB0164 or BmtA decreases cellular Mn levels and both proteins contain sequence and structure motifs consistent with a role in cation transport (S4 Fig) [22], there is no direct biochemical evidence that either protein is a bona fide Mn transporter. Control of metal homeostasis in the cell is a complex process, and it remains possible that only one of these proteins is directly responsible for the transport of Mn, while the other has an indirect effect on Mn levels via transport of an alternative substrate.

The mechanisms by which bb0839, bb0017, and bb0202 provide resistance against ROS or RNS require further investigation. BB0839 is annotated as a hypothetical protein, but protein structure predictions suggest that it is similar to RNase HI, a nonspecific RNA endonuclease that seems to be unrelated to RNS protective activities [35]. Therefore additional verification (e.g. isolation of additional mutants and/or complementation) of its potential role in protection against RNS is needed. The two remaining genes encode predicted transmembrane proteins. BB0202 contains an N-terminal predicted transmembrane region and a C-terminal domain with tandem repeats of a cystathionine beta-synthase (CBS) domain. Other proteins with similar domains are involved in ion transport. A structure-based analysis of BB0202 using Phyre2 suggested that it is similar to CorC, a protein involved in magnesium and cobalt efflux in Salmonella typhimurium [35]. BB0017 is annotated as an integral membrane protein [20]. It contains a predicted N-terminal transmembrane domain as well as a C-terminal domain containing two conserved domains of unknown function (DUF161 and DUF2179). While BB0017 and BB0202 are apparently not involved in the transport of Mn or Zn (Fig 6A and 6B), these proteins could be involved in transport of other small molecules or ions. Given that B. burgdorferi encodes relatively few canonical oxidative stress response proteins and a significant portion of the genes identified in the ROS Tn-seq screens encode predicted membrane proteins, we hypothesize that transport serves as an alternative detoxification strategy in B. burgdorferi. Transported substrates could provide protection from oxidative stress by directly scavenging ROS, by providing co-factors for detoxification enzymes, or by promoting osmoregulation in the face of membrane damage. The transport of small molecules such as polyamines, cystine, and glutathione affects sensitivity to oxidative stress in a variety of organisms [5962]. With the exception of several studies regarding the transport of Mn and riboflavin [22, 63], very little is known about the transport of small molecules and ions in B. burgdorferi.

While bb0839, bb0017, bb0164, and bb0202 are the only genes that we validated as protective against ROS and RNS, the Tn-seq screens identified 66 genes that had an overall frequency ratio below our neutral fitness cut-off value of 0.5 (S3 Table). Almost half of these genes encode proteins of unknown function (Fig 2), highlighting the usefulness of unbiased high-throughput genetic screens like Tn-seq for imputing functions to uncharacterized proteins. The genes identified in the DEA/NO screen were largely different from those identified in the H2O2 and TBHP screens, suggesting that the cellular responses to RNS and ROS are different (Fig 2A). In contrast, there was significant overlap between the genes identified in the TBHP and H2O2 screens (Fig 2A). Since TBHP induces lipid peroxidation and membrane damage is one effect of ROS toxicity in B. burgdorferi [13], we hypothesize that the genes identified in both screens may encode proteins involved in a membrane damage response. In addition to bb0017 and bb0412, these genes include bb0050 and bb0051 (encoding putative energy coupling factor transporters), hk1 (encoding histidine kinase 1), bb0554, bb0555, and bb0556 (encoding proteins with limited homology to the subunits of a carbon monoxide dehydrogenase), bb0631 (encoding a putative lipoprotein), and bbe29 (a pseudogene). Of this list, Hk1 is particularly intriguing since it is a histidine kinase which, along with the response regulator Rrp1, constitutes one of the two-component systems in B. burgdorferi [47, 64]. The Hk1/Rrp1 two-component system regulates synthesis of cyclic di-GMP, controlling a variety of cellular processes that are required for bacterial survival of the larval and nymphal blood meals [64]. The identification of hk1 in this screen suggests that one facet of the Hk1/Rrp1 response may contribute to ROS resistance. We compared our list of 66 genes with those from previous studies on gene expression and regulator binding sites in B. burgdorferi and generally saw little or no overlap. Strikingly, however, 23 of the 66 genes are located downstream of one of the 156 putative BosR binding sites identified in a recent study [29], suggesting that the expression of these genes could be coordinately regulated.

Although we focused on Tn mutants that decreased in frequency after stress exposure, there were a few cases where Tn mutants significantly increased in frequency, suggesting that disruption of these genes makes B. burgdorferi more resistant to ROS or RNS (S4 Table). The phenotype was particularly striking for Tn mutants with insertions in bb0637 and bb0638, which had overall frequency ratios of 7.3 and 10.2 in the TBHP screen (S4 Table). BB0637 and BB0638 are annotated as putative Na+/H+ antiporters of the ArsB/NhaD superfamily but have not been functionally characterized in B. burgdorferi. The phenotype we observe for the Tn::bb0637 and Tn::bb0638 mutants is similar to that reported for the bicA mutant, which is more resistant to peroxide stress compared to the parental strain when grown in iron- or copper-replete media [19]. It was hypothesized that although BicA-mediated metal sequestration prevents the metal from binding to and damaging other proteins, BicA also effectively increases the cellular metal concentration and does not prevent reactivity with hydrogen peroxide to form hydroxyl radical [19]. Based on the results of our in vivo Tn-seq screen, bb0637 and bb0638 appear to play essential roles in vivo (Fig 7), and we hypothesize that ROS sensitivity may be an unavoidable consequence of this essential BB0637 and BB0637 function.

A potential caveat to Tn library-based screens in Borrelia is the segmented nature of the genome. Strain B31 5A18NP1 contains 19 of 21 borrelial linear and circular plasmids in addition to the linear chromosome [65]. Although several of the plasmids are required for infectivity in mice and ticks, the lack of a selective pressure during growth in vitro can result in plasmid loss. The plasmid profile has been determined for 4,464 Tn mutants in the arrayed library [30]. Although we minimized in vitro passage of the library, it is possible that plasmid loss could have occurred after the arrayed mutants were pooled. As a result, phenotypes detected in the Tn-seq screens could be due to plasmid loss instead of the Tn insertion. However, it is unlikely that plasmid loss significantly affects our overall conclusions. The majority of the genes identified in our in vitro screens are chromosomally encoded, suggesting that plasmid-encoded genes have a limited contribution ROS and RNS resistance. Additionally, many of the genes with the lowest overall frequency ratios in our screens were disrupted in multiple Tn mutants, making it unlikely that plasmid loss accounts for their sensitivity to ROS or RNS. We also independently confirmed the plasmid profile for each individual Tn mutant we obtained from the arrayed library (S5 Table), confirmed the phenotypes for four of these Tn mutants independently in vitro, and were able to complement the phenotype in two of the Tn mutants (Fig 5).

All 36 Tn mutants selected based on the results of our in vitro Tn-seq screens exhibited a competitive defect relative to the neutral Tn::oppA1 mutants in vivo, and more than half of the mutants in the library were undetectable in our assay following infection (Fig 7). Many of these gene products have not been functionally characterized and are thus interesting candidates for future study. In cases where genes disrupted in our mini-library have been tested previously for their roles in vivo, our results generally agree with those from previous studies, further validating the use of Tn-seq for in vivo studies of B. burgdorferi pathogenesis [30, 32]. For example, earlier signature tagged mutagenesis or Tn-seq screens included Tn mutants with insertions in 19 of the same genes as the Tn mutants included in our mini-library; 17 of these 19 mutants had at least partial infectivity defects in both studies [30, 32]. Several of the mutants included in our mini-library have also been tested in single strain infections (for example, uvrC, uvrD, pdeA, and cyaB) [34, 41, 66]. Again, our results are largely consistent with the results of these previous studies, and differences in the nature of single-strain versus competition experiments could explain some minor discrepancies [66].

The results of the in vivo Tn-seq screen in C57BL/6 mice suggest that the ability to detoxify ROS or RNS is important for B. burgdorferi pathogenicity. Interestingly, however, none of the Tn mutants were rescued for infectivity in the gp91phox-/- mice as we had hypothesized (Fig 7). Our findings are similar to those of a recent study showing that the infectivity of a sodA mutant, which lacks the sole borrelial superoxide dismutase, is not rescued in the gp91phox-/- background [67]. It remains unclear exactly when and where B. burgdorferi encounters ROS in the mammalian host and whether gp91phox plays an important role in controlling B. burgdorferi infection. Two previous studies using gp91phox-/- mice have reported, in one instance, no difference in the severity of Lyme arthritis [68], and in the other, a slight increase in the bacterial burden at several tissue sites [67]. Although one possible interpretation of our results is that the genes we have identified are not involved in ROS detoxification in vivo, another possible explanation is that loss of these ROS detoxification genes has secondary effects on the cell that lead to attenuation independent of ROS sensitivity. For example, reduced Mn levels in the bmtA mutant lead to decreased SodA activity and increased ROS sensitivity, but also result in the dysregulation of lipoproteins required for virulence [8, 22, 56, 57]. The reduction of Mn in the Tn::bb0164 mutant presumably has similar consequences for lipoprotein expression. While the absence of superoxide in the gp91phox-/- background might be predicted to compensate for the ROS sensitivity of the bmtA and Tn::bb0164 mutants, dysregulated lipoprotein expression might still result in the attenuation of these strains.

Given the fact that B. burgdorferi must constantly evade the immune systems of its vertebrate and invertebrate hosts, it seems certain that the bacteria come into contact with RNS and ROS at some point during their lifecycle. In particular, it seems likely that the tick-vertebrate interface represents a site where spirochetes face ROS or RNS. Future studies should characterize the magnitude of oxidative stress at this early time-point as well as additional time points during colonization of mice and ticks. Overall, this study provides further support for Tn-seq as a powerful tool for both in vitro and in vivo studies in B. burgdorferi and identifies new gene products involved in both the defense against ROS and RNS and murine pathogenesis. The unusual biochemistry, genetics, and lifestyle of B. burgdorferi make it an excellent model for identifying novel targets that add to the bacterial arsenal against ROS- and RNS-mediated damage.

Materials and methods

Bacterial strains and growth conditions

Escherichia coli strains were grown on Luria-Bertani (LB) agar plates or in LB broth at 37°C. B. burgdorferi strains were grown in Barbour-Stoenner-Kelley II (BSK-II) medium in sealed tubes at 32°C with 1% CO2 in static cultures unless noted otherwise. Bacteria were exposed to ROS using the Modified BSK-II medium which does not contain pyruvate, bovine serum albumin, or rabbit serum [14]. The parental strain of the transposon library, the infectious B. burgdorferi strain 5A18NP1 [65], was used as the wild-type strain in all studies. The following antibiotics were used for B. burgdorferi when appropriate: kanamycin at 200 μg/ml, gentamicin at 40 μg/ml, and streptomycin at 50 μg/ml.

Transposon mutants were obtained from the arrayed B. burgdorferi library [30]. It is important to note that there is not perfect concordance between the Tn mutants represented in our Tn-seq dataset and the Tn mutants available in the arrayed library. This is primarily a result of four factors: (1) the exclusion of Tn mutants from the Tn-seq data analysis due to low representation in the library; (2) the loss of Tn mutants from the population when the library was originally pooled; (3) the presence of co-isolates in some of the previously described Tn mutants [32, 66]; and (4) the inclusion of Tn mutants in the pooled library for which the insertion site had not been mapped. All individual Tn mutants were screened by polymerase chain reaction (PCR) at the locus of interest to confirm pure populations. In cases where mixed populations were identified (i.e. two PCR products indicating the presence of both a WT and Tn-disrupted locus), the strain was plated for single colonies in semi-solid agarose overlays [69]. Individual colonies were then selected and re-screened to confirm pure populations. All transposon mutants were subsequently plasmid-typed to identify the loss of any plasmids required for murine or tick infection [37]. See S5 Table for a description of all individual Tn mutants used in this study. Other B. burgdorferi strains as well as plasmids used in this study are described in S6 Table. Primer sequences are listed in S7 Table.

Complementation of Tn mutants

Plasmids for complementation of bb0017 and bb0164 were generated by overlap PCR as described below for each gene (S6 Table). Primers were designed with approximately 30 bp on the 5’ end for overlap, denoted in the underlined sequence of S7 Table, with the numerically assigned PCR product assembled in order into the final construct. Individual PCR fragments were amplified with PrimeSTAR GXL DNA Polymerase (Clonetech, Mountain View, CA) per the manufacturer’s instructions. An overlap PCR reaction was performed with equal volumes of the appropriate number of PCR fragments with PrimeStar GXL reagents per the manufacturer’s recommendations. The amplification program was modified as follows: (1) 94°C for 4 min; (2) 94°C for 30 sec; (3) 45°C for 30 sec; (4) 68°C for 1 min/kb of largest individual fragment; (5) repeat steps 2 through 4 ten times; (6) 94°C for 30 sec; (7) 55°C for 30 sec; (8) 68°C for 1 min/kb of overlap PCR product; repeat steps 6 through 8 30 times. Following PCR, the products were resolved by agarose gel electrophoresis and gel-purified (Zymoclean Gel DNA Recovery Kit, Zymo Research, Irvine, CA) for cloning into pCR-Blunt (ThermoFisher Scientific, Grand Island, NY) following manufacturer’s protocol. Completed complementation vectors were verified by restriction digest and dideoxy sequencing.

The cis complementation of bb0017 required three PCR fragments consisting of intact bb0017 with 746 bp upstream sequence (F1), PflgB-aadA for antibiotic selection (F2), and 1557 bp downstream of bb0017 (F3) for allelic exchange into the borrelial chromosome. The bb0017 complementation vector was designated pJH508 (S6 Table). bb0164 is part of a predicted operon, and cis complementation could have a polar impact on downstream genes. Thus a trans complementation vector for bb0164 was designed for allelic exchange in the borrelial chromosome between bb0445 and bb0446, a site previously used for the complementation of dps/napA/bicA [43]. The bb0164 complementation vector, designated pJH511, consists of five fragments: 1458 bp of the bb0445 region (F1), 490 bp upstream of bb0165 start codon (F2), bb0164 from the start codon to the stop codon (F3), PflgB-aadA for antibiotic selection (F4), and 1449 bp of the bb0446 region for allelic exchange (F5).

Cis complementation vector pJH508 was transformed into B. burgdorferi Tn::bb0017 as previously described [69, 70], and transformants were designated DM104 (Tn::bb0017-comp). Trans complementation of Tn::bb0164 with pJH511 resulted in B. burgdorferi strain JH511 (Tn::bb0164-comp). The complemented strains were screened by PCR for allelic exchange using the forward primer of fragment 1 and the reverse primer for the PflgB-aadA cassette for each construct (S7 Table). The borrelial plasmid composition was confirmed by PCR [71].

Determining B. burgdorferi sensitivity to ROS and RNS

To determine the sensitivity of B. burgdorferi strain 5A18NP1 to H2O2, TBHP, and DEA/NO, the strain was grown to mid-log phase in BSK-II, and cell density was determined by dark-field microscopy. A total of 5×107 bacteria were exposed to culture medium alone or to increasing concentrations of each ROS or RNS reagent in a 1-ml volume. In the case of H2O2 and TBHP, bacteria were harvested by centrifugation at 14,000 × g for 5 min, washed in PBS, and resuspended in Modified BSK-II prior to ROS exposure [14]. After a two-hour (for DEA/NO) or a four-hour (for H2O2 and TBHP) stress exposure, bacteria were serially diluted in fresh BSK-II, and dilutions were plated in semi-solid agarose overlays [69]. The four-hour ROS exposure was selected to conform with exposure lengths in other published studies. A shorter incubation time was chosen for the DEA/NO exposure because of the short half-life of the molecule (2 min at 37°C). Plates were incubated for 10–12 days at 32°C with 1% CO2 before enumerating colony forming units (CFUs). Percent survival was determined by dividing the number of CFUs on the treated plates by the number of CFUs on the media-alone control.

The sensitivity of individual Tn mutants to DEA/NO, TBHP, and H2O2 was determined using an outgrowth assay similar to one previously described [34]. Tn mutants were grown for three days in BSK-II. The cell density of the cultures was determined using dark-field microscopy, and the cultures were diluted to a concentration of 2×107/ml and grown overnight. This ensured that the Tn mutants were at a similar point of their growth curve on the day of the experiment despite any differences in growth rate. Tn mutants were exposed to culture medium, 1.25 mM DEA/NO, 0.125 mM H2O2, or 7.5 mM TBHP using the conditions described above. These concentrations were empirically selected to result in approximately 60% survival of the parent strain. At the end of the stress exposure, the cells were harvested by centrifugation for 5 min at 14,000 × g, resuspended in 1 ml BSK-II, and diluted 5-fold in BSK-II. Cell density was quantified after three days, when the cell density of the untreated parental culture reached ~1×108/ml. For the DEA/NO experiments, a 0.4-ml volume of each culture was harvested by centrifugation, and cell equivalents were quantified by qPCR for the recA gene. An outgrowth ratio was determined for each strain by dividing the cell equivalents in the presence of DEA/NO by the cell equivalents in the untreated culture. For the TBHP and H2O2 experiments, cell numbers were quantified using dark-field microscopy.

In vitro Tn-seq

The B. burgdorferi signature tagged transposon mutagenesis library is maintained as an arrayed library [30]. In order to conduct Tn-seq experiments, a single pool containing all of the Tn mutants was generated by combining sub-pools containing 70–80 individual Tn mutants each [32]. For the current study, the Tn library was re-pooled to eliminate an 80-mutant sub-pool containing one Tn mutant (with an insertion in bbj05) that was often over-represented in the library. The re-pooled Tn library was grown for three days in the presence of kanamycin and gentamicin. Cell density was determined by dark-field microscopy, and 5×107 cells were resuspended in 1 ml of BSK-II medium for exposure to DEA/NO. In the case of TBHP or H2O2 exposure, bacteria were harvested by centrifugation at 14,000 × g for 5 min, washed once in PBS, and resuspended in 1 ml Modified BSK-II. ROS and RNS reagents were added if appropriate, and the tubes were incubated for two hours (in the case of DEA/NO exposure) or four hours (in the case of ROS exposure). Bacteria were harvested by centrifugation at 6600 × g for 10 min. The supernatant was removed, and the bacterial pellet was resuspended in 5 ml fresh BSK-II medium containing kanamycin and gentamicin. Cultures were allowed to grow until they reached a density of approximately 1×108 cells/ml, representing one log of outgrowth. Bacteria were harvested by centrifugation, and pellets were stored at -80°C until processing. Two independent experiments were performed.

Animal studies

C57BL/6 or gp91phox-/- mice were used for the in vivo Tn-seq experiments. To generate the mini-library for the in vivo Tn-seq study, 37 B. burgdorferi mutants with Tn insertions in genes of interest (S5 Table) were grown for three days in BSK-II medium containing kanamycin and gentamicin. Cell density was determined by dark-field microscopy, and equal numbers of each mutant were pooled to a final concentration of 4×107 cells/ml. Aliquots of this “mini-library” were then stored at -80°C. To prepare the inoculum for infection, the mini-library and two Tn::oppA1 mutants were grown separately in BSK-II media containing kanamycin and gentamicin for two days. Cell density was determined for each culture by dark-field microscopy, and cultures were mixed to a final concentration of 1×106 cells/ml, such that the Tn::oppA1 mutants were present at twice the concentration of the other mutants.

Three groups of six mice C57BL/6 mice and three groups of five or six gp91phox-/- mice between 8–12 weeks of age were injected subcutaneously with a dose of 1×105 bacteria (approximately 5×103 copies of each Tn::oppA1 mutant and approximately 2.5×103 copies of each other mutant). A 100-μl aliquot of the inoculum was used to inoculate 10 ml BSK-II containing kanamycin and gentamicin. This culture was monitored daily by dark-field microscopy, and bacteria were harvested by centrifugation at 14,000 × g for 5 min once the cell density reached between 5×107 and 1×108 cells/ml. The bacterial cell pellet was frozen at -80°C. Mice were sacrificed two weeks post-infection. The bladder, both ankles, and both ears were removed under aseptic conditions. Each organ type from the six mice in the group was pooled and cultured in 10 ml BSK-II containing kanamycin and gentamicin. The cell density of the organ cultures was monitored daily, and bacteria were harvested as described above.

Ethics statement

Mice were bred and maintained in the Tufts University Animal Facility. All experiments were performed following the guidelines of the American Veterinary Medical Association (AVMA) as well as the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All procedures were performed with approval of the Tufts University Institutional Animal Care and Use Committee (IACUC, Protocol# B2015-159). Euthanasia was performed in accordance with guidelines provided by the AVMA and was approved by the Tufts University IACUC.

Preparing libraries for Illumina sequencing

Genomic libraries for sequencing were constructed as described previously [45, 72], with the following changes. Chromosomal DNA was sheared using the M220 Focused-ultrasonicator (Covaris) in microTUBEs with a target peak at 350 bp. The first round of PCR amplification was performed using a modified primer with optimized annealing to the transposon (pMargent1A, 5’-ggtaccttaggagaccgggg-3’). Libraries were multiplexed and pooled for analysis. Sequencing was performed on an Illumina HiSeq 2500 at the Tufts University Core Facility as 50-bp single-end reads, as described previously [45].

Tn-seq data analysis

Sequenced reads were split according to the barcode sequence. Data analysis was performed using the Galaxy platform [73]. We obtained an average of 1.2×107 reads per barcode. Sequences were clipped to remove the C tail, and any sequences shorter than 30 bp were discarded. Sequences were then filtered by quality, and any sequences in which 95% of the base-pairs did not have a quality cut-off value (Q) greater than 30 were discarded. After this quality control work-flow, we were left with between 4×106 and 5×106 reads per condition. Reads were mapped to the B. burgdorferi B31 genome using Bowtie, and a custom script was used to count the number of sequence reads corresponding to each insertion site in the genome. Sequence reads were analyzed “by-site” and “by-gene.” Only transposon mutants that were represented by at least ten sequence reads in both untreated samples were included in the “by-site” analysis. In contrast, the “by-gene” analysis included all sequence reads mapping within a particular gene. Genes represented by less than ten sequence reads in both untreated samples were excluded from the “by-gene” analysis. Tn mutants with zero reads in the treated samples were assigned a value of one. The frequency of each transposon mutant in a particular barcoded condition was determined by dividing the number of sequence reads corresponding to each Tn mutant by the total number of sequences in the barcode. A frequency ratio was then determined by dividing the frequency of a transposon mutant in the ROS/RNS-exposed sample by its frequency in the untreated control. Some of the plasmids in B. burgdorferi are highly similar in sequence to one another. As a result, genes were subsequently excluded from the analysis if any of the sequence reads that mapped within the gene could be assigned to multiple locations in the genome (gray shading in S1 and S2 Tables). For the purposes of prioritizing mutants for follow-up, frequency ratios between 0.5 and 2 were considered neutral.

Inductively Coupled Plasmid-Sector Field Mass Spectrometry (ICP-MS)

Spirochetes were grown to early stationary phase and harvested by centrifugation (4000 × g for 1 h at 4°C). The cells were washed three times with sterile phosphate-buffered saline (PBS, Thermo) and once with UltraPure water (Invitrogen). During the final PBS wash, the OD600 of a 1:20 dilution of the sample was measured to assess bacterial cell density. The cell density measurements were used to normalize metal content to cell number in the downstream analysis. The bacterial pellet was processed for ICP-MS as described previously [19]. Briefly, pellets were digested in 100 μl of concentrated nitric acid (16 N, GFS Chemicals) at 100°C for 15 min. The volume of each sample was adjusted to 1 ml by the addition of UltraPure water, and an internal indium standard was added to a final concentration of 10 ppb. Samples were analyzed at the Trace Element Research Laboratory at The Ohio State University using a PerkinElmer Nexion 350D Inductively Coupled Plasma Sector Field Mass Spectrometer, as described previously [19].

RNA isolation

Total RNA was isolated from bacterial cells grown to mid-logarithmic growth phase using either the 5 Prime PerfectPure RNA cultured cell kit (for reverse transcriptase PCR; 5 PRIME, Inc., Gaithersburg, MD) or TRIzol (Invitrogen) following the manufacturer’s instructions. RNA samples were treated with Ambion’s TURBO DNA-free kit (ThermoFisher Scientific, Waltham, MA) and recombinant RNasin Ribonuclease Inhibitor (Promega Co., Madison, WI) to eliminate contaminating DNA and inhibit RNase activity, respectively.

Reverse Transcription (RT)-PCR

Oligonucleotide primer pairs were designed for bb0017 and for the constitutively-expressed flaB gene (S7 Table). The primer pairs were tested to confirm the amplification of a single product with a known size using genomic B. burgdorferi DNA as the template. Reverse transcription reactions were performed by combining Invitrogen’s SuperScript II Reverse Transcriptase (ThermoFisher Scientific, Waltham, MA) with purified RNA from the appropriate B. burgdorferi strain according to manufacturer’s instructions. The gene-specific primers bb0017R or flaBF (S7 Table) were used to synthesize cDNA. Detection of flaB was done to control for the isolation of RNA. A control reaction lacking reverse transcriptase was performed in all cases to test for the presence of residual DNA. Subsequently, the cDNA from the reverse transcription reactions was used as template and subjected to PCR using Takara EmeraldAmp Max PCR Master Mix (Clontech Laboratories, Mountain View, CA). To amplify the B. burgdorferi targets, the amplification program was modified as follows: (1) 94°C for 2 min; (2) 98°C for 10 sec; (3) 45°C for 30 sec; and (4) 72°C for 2 min. Steps two through four were repeated 30 times followed by a final extension step at 72°C for 10 min. The resulting samples were then resolved by agarose gel electrophoresis.

Quantitative PCR (qPCR) analysis

Quantification of target gene expression from cDNA or from B. burgdorferi cell lysates prepared via alkaline lysis [74] was performed using the iTaq Universal SYBR Green Supermix (BioRad). cDNA was prepared using random hexamers (Promega) and the ImProm-II Reverse Transcription System (Promega). Primers used in qPCR analysis of the recA, flaB, and bmtA genes from B. burgdorferi have been described previously [22, 75, 76] and were added to a final concentration of 0.4 μM each (S7 Table). Cycling parameters were 95°C for 3 min followed by 39 cycles of 95°C for 10 sec, 60°C for 30 sec. Melt curve analysis was performed by increasing the temperature from 65°C to 95°C in 0.5°C increments every 5 sec. All samples were run in triplicate. A cell lysate prepared from 5×107 cells of B. burgdorferi strain 5A18NP1 was used to generate a standard curve. For qPCR analysis from cDNA, samples prepared in the absence of reverse transcriptase were included to control for the presence of residual chromosomal DNA. Analysis was performed using the CFX Connect Real-Time PCR Detection System (BioRad).

Supporting information

S1 Fig

Correlation between biological replicates of the Tn-seq experiments.

The frequency of each mutant in the Tn library is shown for the two biological replicates of the untreated (A-C) and treated (D-F) samples. The nonparametric Spearman correlation coefficient R is shown in each case. Also shown are the nonparametric Spearman correlation coefficients comparing each of the 6 inocula used to infect 3 groups of C57BL/6 mice and 3 groups of gp91phox-/- mice with the mini-library of 39 Tn mutants (G). The frequency of each of these 39 Tn mutants in the three C57BL/6 and gp91phox-/- organ pools, along with the correlation coefficients between the samples, is also shown (H-I).


S2 Fig

Tn::bb0431 and Tn::bb0839 are not more sensitive to diethylamine compared to the parental strain.

The Tn::bb0431 and Tn::bb0839 Tn mutants were exposed to 1.25 mM DEA/NO, 1.25 mM diethylamine (DEA), or culture medium alone along with the parental strain 5A18NP1. Genomic equivalents were quantified following a three-day outgrowth period, and an outgrowth ratio was determined for each strain as the ratio of genomic equivalents in the treated sample compared to the untreated sample. *, P < 0.01 compared to 5A18NP1 by 2-way ANOVA followed by Dunnett’s test. N.S., not significant.


S3 Fig

RT-PCR of the Tn::bb0017 strain shows the loss of the bb0017 transcript.

Total RNA was prepared from the parent 5A18NP1 (P), the Tn::bb0017 mutant (M), and the complemented strain DM104 (C), then subjected to RT-PCR using oligonucleotide primers specific for bb0017 (left half) and flaB (right half) as described in S7 Table. The absence or presence of reverse transcriptase (RT) in the samples is indicated by a minus or plus symbol, respectively. The leftmost lane contains a 100 base pair ladder with the 0.5 kb and 1 kb fragments indicated.


S4 Fig

Alignment of BB0164 with other CaCA transporter family members.

Clustal Omega was used to align the amino acid sequence of BB1064 from B. burgdorferi (Bb_BB0164) with the amino acid sequences of homologs in Bacillus subtilis (Bs_YfkE), Methanococcus jannaschii (Mj_NCX), Saccharomyces cerevisiae (Sc_VCX1), and Arabidopsis thaliana (At_CAX1). Conserved amino acids are indicated by red shading or blue borders. Numbering corresponds to the BB0164 sequence. Green rectangles indicate the 11 transmembrane domains (TM0 –TM10) identified in the crystal structure of B. subtilis YfkE (Protein Data Bank ID code 4KJS). Orange rectangles indicate predicted alpha helices in BB0164 (Phyre2) [35]. Amino acids that are involved in Ca2+ transport in B. subtilis YfkE are indicated by asterisks [50]. This figure was prepared using ESPript [77].


S1 Table

Frequency ratios of individual Tn mutants after exposure to 2.5 mM DEA/NO, 10 mM TBHP, or 0.25 mM H2O2.

Tn mutants were removed from the analysis if they were not represented by at least 10 sequence reads in both untreated libraries. Zeroes in the treated samples were changed to 1 before calculating frequency (frequ.) ratios. Blank cells indicate that a particular Tn mutant was not detected or did not meet the inclusion criteria under a particular condition. Duplicate sequences (i.e. those that are present multiple times in the genome and thus cannot be mapped to a specific locus) are shaded in gray.


S2 Table

Overall frequency ratios for all genes after exposure to 2.5 mM DEA/NO, 10 mM TBHP, or 0.25 mM H2O2.

Genes were removed from the analysis if they were not represented by at least 10 sequence reads in the untreated libraries. Zeroes in the treated samples were changed to 1 before calculating frequency (frequ.) ratios. Blank cells indicate that Tn mutants with insertions in a particular gene were not detected or did not meet the inclusion criteria under a particular condition. Genes are shaded in gray if any of the sequence reads from Tn mutants with insertions in the gene can be mapped to multiple sites in the genome.


S3 Table

Genes with an overall frequency ratio less than 0.5 in both replicates of at least one condition.

Gray shading indicates a median frequency (frequ.) ratio <0.5. Genes were only included if the overall frequency ratio was <0.5 in both replicates of at least one condition. Blank boxes indicate that Tn mutants with insertions in that particular gene were not detected or did not meet the inclusion criteria under a particular condition.


S4 Table

Genes with an overall frequency ratio greater than 2 in both replicates of at least one condition.

Gray shading indicates a median frequency (frequ.) ratio >2. Genes were only included if the overall frequency ratio was >2 in both replicates of at least one condition. Genes were excluded if any of the sequences mapping within the gene could be mapped to multiple places on the chromosome. Blank boxes indicate that Tn mutants with insertions in that particular gene were not detected or did not meet the inclusion criteria under a particular condition.


S5 Table

Transposon mutants used in this study.


S6 Table

Plasmids and other B. burgdorferi strains used in this study.


S7 Table

Sequences of primers used in this study.



We thank Dr. Erin Troy and Dr. Tanja Petnicki-Ocwieja for helpful advice regarding experimental design and data analysis. We thank Dr. Michael Norgard at University of Texas Southwestern for providing strains. We also thank Dr. John Olesik and Anthony Lutton at The Ohio State University for processing our ICP-MS samples.

Funding Statement

This work was supported by the National Institutes of Health ( through the following grants: F32AI118316 (MER); R21AI111317 and R21AI103905 (LTH and TL); R21AI113200, R21AI119821, and R21AI123672 (JTS); and R01AI59048 (SJN and TL). DNMP was supported in part by a Texas A&M University Graduate Diversity Fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Data Availability

Data Availability

All relevant data are within the paper and its Supporting Information files.


1. Radolf JD, Caimano MJ, Stevenson B, Hu LT. Of ticks, mice and men: understanding the dual-host lifestyle of Lyme disease spirochaetes. Nature reviews Microbiology. 2012;10(2):87–99. Epub 01/11. doi: 10.1038/nrmicro2714 [PMC free article] [PubMed]
2. Stevenson B, Schwan TG, Rosa PA. Temperature-related differential expression of antigens in the Lyme disease spirochete, Borrelia burgdorferi. Infection and immunity. 1995;63(11):4535–9. Epub 11/01. [PMC free article] [PubMed]
3. Seshu J, Boylan JA, Gherardini FC, Skare JT. Dissolved oxygen levels alter gene expression and antigen profiles in Borrelia burgdorferi. Infection and immunity. 2004;72(3):1580–6. Epub 02/24. doi: 10.1128/IAI.72.3.1580-1586.2004 [PMC free article] [PubMed]
4. Carroll JA, Garon CF, Schwan TG. Effects of environmental pH on membrane proteins in Borrelia burgdorferi. Infection and immunity. 1999;67(7):3181–7. Epub 06/22. [PMC free article] [PubMed]
5. Hyde JA, Trzeciakowski JP, Skare JT. Borrelia burgdorferi alters its gene expression and antigenic profile in response to CO2 levels. Journal of bacteriology. 2006;189(2):437–45. Epub 11/14. doi: 10.1128/JB.01109-06 [PMC free article] [PubMed]
6. Brooks CS, Hefty PS, Jolliff SE, Akins DR. Global analysis of Borrelia burgdorferi genes regulated by mammalian host-specific signals. Infection and immunity. 2003;71(6):3371–83. Epub 05/23. doi: 10.1128/IAI.71.6.3371-3383.2003 [PMC free article] [PubMed]
7. Revel AT, Talaat AM, Norgard MV. DNA microarray analysis of differential gene expression in Borrelia burgdorferi, the Lyme disease spirochete. Proceedings of the National Academy of Sciences of the United States of America. 2002;99(3):1562–7. Epub 02/07. doi: 10.1073/pnas.032667699 [PubMed]
8. Troxell B, Ye M, Yang Y, Carrasco SE, Lou Y, Yang XF. Manganese and zinc regulate virulence determinants in Borrelia burgdorferi. Infection and immunity. 2013;81(8):2743–52. doi: 10.1128/IAI.00507-13 [PMC free article] [PubMed]
9. Bourret TJ, Lawrence KA, Shaw JA, Lin T, Norris SJ, Gherardini FC. The nucleotide excision repair pathway protects Borrelia burgdorferi from nitrosative stress in Ixodes scapularis ticks. Front Microbiol. 2016;7:1397 doi: 10.3389/fmicb.2016.01397 [PMC free article] [PubMed]
10. Heinze DM, Carmical JR, Aronson JF, Thangamani S. Early immunologic events at the tick-host interface. PloS one. 2012;7(10):e47301 Epub 10/19. doi: 10.1371/journal.pone.0047301 [PMC free article] [PubMed]
11. Scholl DC, Embers ME, Caskey JR, Kaushal D, Mather TN, Buck WR, et al. Immunomodulatory effects of tick saliva on dermal cells exposed to Borrelia burgdorferi, the agent of Lyme disease. Parasit Vectors. 2016;9(1):394 doi: 10.1186/s13071-016-1638-7 [PMC free article] [PubMed]
12. Bourret TJ, Boylan JA, Lawrence KA, Gherardini FC. Nitrosative damage to free and zinc-bound cysteine thiols underlies nitric oxide toxicity in wild-type Borrelia burgdorferi. Molecular microbiology. 2011;81(1):259–73. Epub 05/14. doi: 10.1111/j.1365-2958.2011.07691.x [PMC free article] [PubMed]
13. Boylan JA, Lawrence KA, Downey JS, Gherardini FC. Borrelia burgdorferi membranes are the primary targets of reactive oxygen species. Molecular microbiology. 2008;68(3):786–99. Epub 04/01. doi: 10.1111/j.1365-2958.2008.06204.x [PMC free article] [PubMed]
14. Troxell B, Zhang JJ, Bourret TJ, Zeng MY, Blum J, Gherardini F, et al. Pyruvate protects pathogenic spirochetes from H2O2 killing. PloS one. 2014;9(1):e84625 Epub 01/07. doi: 10.1371/journal.pone.0084625 [PMC free article] [PubMed]
15. Imlay JA. The molecular mechanisms and physiological consequences of oxidative stress: lessons from a model bacterium. Nature reviews Microbiology. 2013;11(7):443–54. doi: 10.1038/nrmicro3032 [PMC free article] [PubMed]
16. Storz G, Imlay JA. Oxidative stress. Current opinion in microbiology. 1999;2(2):188–94. Epub 05/14. [PubMed]
17. Sambir M, Ivanova LB, Bryksin AV, Godfrey HP, Cabello FC. Functional analysis of Borrelia burgdorferi uvrA in DNA damage protection. FEMS microbiology letters. 2011;317(2):172–80. Epub 01/29. doi: 10.1111/j.1574-6968.2011.02226.x [PMC free article] [PubMed]
18. Posey JE, Gherardini FC. Lack of a role for iron in the Lyme disease pathogen. Science (New York, NY). 2000;288(5471):1651–3. Epub 06/02. [PubMed]
19. Wang P, Lutton A, Olesik J, Vali H, Li X. A novel iron- and copper-binding protein in the Lyme disease spirochaete. Molecular microbiology. 2012;86(6):1441–51. Epub 10/16. doi: 10.1111/mmi.12068 [PubMed]
20. Fraser CM, Casjens S, Huang WM, Sutton GG, Clayton R, Lathigra R, et al. Genomic sequence of a Lyme disease spirochaete, Borrelia burgdorferi. Nature. 1997;390(6660):580–6. Epub 12/24. doi: 10.1038/37551 [PubMed]
21. Esteve-Gassent MD, Elliott NL, Seshu J. sodA is essential for virulence of Borrelia burgdorferi in the murine model of Lyme disease. Molecular microbiology. 2008;71(3):594–612. Epub 12/02. doi: 10.1111/j.1365-2958.2008.06549.x [PubMed]
22. Ouyang Z, He M, Oman T, Yang XF, Norgard MV. A manganese transporter, BB0219 (BmtA), is required for virulence by the Lyme disease spirochete, Borrelia burgdorferi. Proceedings of the National Academy of Sciences of the United States of America. 2009;106(9):3449–54. Epub 02/17. doi: 10.1073/pnas.0812999106 [PubMed]
23. Showman AC, Aranjuez G, Adams PP, Jewett MW. Gene bb0318 is critical for the oxidative stress response and infectivity of Borrelia burgdorferi. Infection and immunity. 2016. [PMC free article] [PubMed]
24. Boylan JA, Hummel CS, Benoit S, Garcia-Lara J, Treglown-Downey J, Crane EJ 3rd, et al. Borrelia burgdorferi bb0728 encodes a coenzyme A disulphide reductase whose function suggests a role in intracellular redox and the oxidative stress response. Molecular microbiology. 2006;59(2):475–86. Epub 01/05. doi: 10.1111/j.1365-2958.2005.04963.x [PubMed]
25. Eggers CH, Caimano MJ, Malizia RA, Kariu T, Cusack B, Desrosiers DC, et al. The coenzyme A disulphide reductase of Borrelia burgdorferi is important for rapid growth throughout the enzootic cycle and essential for infection of the mammalian host. Molecular microbiology. 2011;82(3):679–97. Epub 09/20. doi: 10.1111/j.1365-2958.2011.07845.x [PMC free article] [PubMed]
26. Hyde JA, Shaw DK, Smith Iii R, Trzeciakowski JP, Skare JT. The BosR regulatory protein of Borrelia burgdorferi interfaces with the RpoS regulatory pathway and modulates both the oxidative stress response and pathogenic properties of the Lyme disease spirochete. Molecular microbiology. 2009;74(6):1344–55. Epub 11/13. doi: 10.1111/j.1365-2958.2009.06951.x [PMC free article] [PubMed]
27. Ouyang Z, Kumar M, Kariu T, Haq S, Goldberg M, Pal U, et al. BosR (BB0647) governs virulence expression in Borrelia burgdorferi. Molecular microbiology. 2009;74(6):1331–43. Epub 11/06. doi: 10.1111/j.1365-2958.2009.06945.x [PMC free article] [PubMed]
28. Hyde JA, Seshu J, Skare JT. Transcriptional profiling of Borrelia burgdorferi containing a unique bosR allele identifies a putative oxidative stress regulon. Microbiology (Reading, England). 2006;152(Pt 9):2599–609. Epub 09/02. [PubMed]
29. Wang P, Dadhwal P, Cheng Z, Zianni MR, Rikihisa Y, Liang FT, et al. Borrelia burgdorferi oxidative stress regulator BosR directly represses lipoproteins primarily expressed in the tick during mammalian infection. Molecular microbiology. 2013;89(6):1140–53. Epub 07/23. doi: 10.1111/mmi.12337 [PMC free article] [PubMed]
30. Lin T, Gao L, Zhang C, Odeh E, Jacobs MB, Coutte L, et al. Analysis of an ordered, comprehensive STM mutant library in infectious Borrelia burgdorferi: insights into the genes required for mouse infectivity. PloS one. 2012;7(10):e47532 Epub 11/08. doi: 10.1371/journal.pone.0047532 [PMC free article] [PubMed]
31. van Opijnen T, Bodi KL, Camilli A. Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms. Nature methods. 2009;6(10):767–72. Epub 09/22. doi: 10.1038/nmeth.1377 [PMC free article] [PubMed]
32. Troy EB, Lin T, Gao L, Lazinski DW, Lundt M, Camilli A, et al. Global Tn-seq analysis of carbohydrate utilization and vertebrate infectivity of Borrelia burgdorferi. Molecular microbiology. 2016;101(6):1003–23. doi: 10.1111/mmi.13437 [PMC free article] [PubMed]
33. Fang FC. Antimicrobial reactive oxygen and nitrogen species: concepts and controversies. Nature reviews Microbiology. 2004;2(10):820–32. doi: 10.1038/nrmicro1004 [PubMed]
34. Hardy PO, Chaconas G. The nucleotide excision repair system of Borrelia burgdorferi is the sole pathway involved in repair of DNA damage by UV light. Journal of bacteriology. 2013;195(10):2220–31. doi: 10.1128/JB.00043-13 [PMC free article] [PubMed]
35. Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc. 2015;10(6):845–58. doi: 10.1038/nprot.2015.053 [PMC free article] [PubMed]
36. Purser JE, Norris SJ. Correlation between plasmid content and infectivity in Borrelia burgdorferi. Proceedings of the National Academy of Sciences of the United States of America. 2000;97(25):13865–70. Epub 12/06. doi: 10.1073/pnas.97.25.13865 [PubMed]
37. Bunikis I, Kutschan-Bunikis S, Bonde M, Bergstrom S. Multiplex PCR as a tool for validating plasmid content of Borrelia burgdorferi. J Microbiol Methods. 2011;86(2):243–7. doi: 10.1016/j.mimet.2011.05.004 [PubMed]
38. Tilly K, Elias AF, Errett J, Fischer E, Iyer R, Schwartz I, et al. Genetics and regulation of chitobiose utilization in Borrelia burgdorferi. Journal of bacteriology. 2001;183(19):5544–53. doi: 10.1128/JB.183.19.5544-5553.2001 [PMC free article] [PubMed]
39. Pappas CJ, Iyer R, Petzke MM, Caimano MJ, Radolf JD, Schwartz I. Borrelia burgdorferi requires glycerol for maximum fitness during the tick phase of the enzootic cycle. PLoS pathogens. 2011;7(7):e1002102 doi: 10.1371/journal.ppat.1002102 [PMC free article] [PubMed]
40. Gaultney RA, Gonzalez T, Floden AM, Brissette CA. BB0347, from the lyme disease spirochete Borrelia burgdorferi, is surface exposed and interacts with the CS1 heparin-binding domain of human fibronectin. PloS one. 2013;8(9):e75643 doi: 10.1371/journal.pone.0075643 [PMC free article] [PubMed]
41. Sultan SZ, Pitzer JE, Miller MR, Motaleb MA. Analysis of a Borrelia burgdorferi phosphodiesterase demonstrates a role for cyclic-di-guanosine monophosphate in motility and virulence. Molecular microbiology. 2010;77(1):128–42. doi: 10.1111/j.1365-2958.2010.07191.x [PMC free article] [PubMed]
42. Li C, Bakker RG, Motaleb MA, Sartakova ML, Cabello FC, Charon NW. Asymmetrical flagellar rotation in Borrelia burgdorferi nonchemotactic mutants. Proceedings of the National Academy of Sciences of the United States of America. 2002;99(9):6169–74. doi: 10.1073/pnas.092010499 [PubMed]
43. Li X, Pal U, Ramamoorthi N, Liu X, Desrosiers DC, Eggers CH, et al. The Lyme disease agent Borrelia burgdorferi requires BB0690, a Dps homologue, to persist within ticks. Molecular microbiology. 2006;63(3):694–710. Epub 12/22. doi: 10.1111/j.1365-2958.2006.05550.x [PubMed]
44. Jewett MW, Lawrence K, Bestor AC, Tilly K, Grimm D, Shaw P, et al. The critical role of the linear plasmid lp36 in the infectious cycle of Borrelia burgdorferi. Molecular microbiology. 2007;64(5):1358–74. doi: 10.1111/j.1365-2958.2007.05746.x [PMC free article] [PubMed]
45. Troy EB, Lin T, Gao L, Lazinski DW, Camilli A, Norris SJ, et al. Understanding barriers to Borrelia burgdorferi dissemination during infection using massively parallel sequencing. Infection and immunity. 2013;81(7):2347–57. Epub 04/24. doi: 10.1128/IAI.00266-13 [PMC free article] [PubMed]
46. Purser JE, Lawrenz MB, Caimano MJ, Howell JK, Radolf JD, Norris SJ. A plasmid-encoded nicotinamidase (PncA) is essential for infectivity of Borrelia burgdorferi in a mammalian host. Molecular microbiology. 2003;48(3):753–64. [PubMed]
47. Caimano MJ, Kenedy MR, Kairu T, Desrosiers DC, Harman M, Dunham-Ems S, et al. The hybrid histidine kinase Hk1 is part of a two-component system that is essential for survival of Borrelia burgdorferi in feeding Ixodes scapularis ticks. Infection and immunity. 2011;79(8):3117–30. doi: 10.1128/IAI.05136-11 [PMC free article] [PubMed]
48. Lin T, Troy EB, Hu LT, Gao L, Norris SJ. Transposon mutagenesis as an approach to improved understanding of pathogenesis and biology. Frontiers in cellular and infection microbiology. 2014;4:63 Epub 06/07. doi: 10.3389/fcimb.2014.00063 [PMC free article] [PubMed]
49. Socha AL, Guerinot ML. Mn-euvering manganese: the role of transporter gene family members in manganese uptake and mobilization in plants. Front Plant Sci. 2014;5:106 doi: 10.3389/fpls.2014.00106 [PMC free article] [PubMed]
50. Wu M, Tong S, Waltersperger S, Diederichs K, Wang M, Zheng L. Crystal structure of Ca2+/H+ antiporter protein YfkE reveals the mechanisms of Ca2+ efflux and its pH regulation. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(28):11367–72. doi: 10.1073/pnas.1302515110 [PubMed]
51. Fujisawa M, Wada Y, Tsuchiya T, Ito M. Characterization of Bacillus subtilis YfkE (ChaA): a calcium-specific Ca2+/H+ antiporter of the CaCA family. Arch Microbiol. 2009;191(8):649–57. doi: 10.1007/s00203-009-0494-7 [PubMed]
52. Liao J, Li H, Zeng W, Sauer DB, Belmares R, Jiang Y. Structural insight into the ion-exchange mechanism of the sodium/calcium exchanger. Science (New York, NY). 2012;335(6069):686–90. [PubMed]
53. Cai X, Lytton J. The cation/Ca(2+) exchanger superfamily: phylogenetic analysis and structural implications. Mol Biol Evol. 2004;21(9):1692–703. [PubMed]
54. Papp-Wallace KM, Maguire ME. Manganese transport and the role of manganese in virulence. Annual review of microbiology. 2006;60:187–209. [PubMed]
55. Culotta VC, Daly MJ. Manganese complexes: diverse metabolic routes to oxidative stress resistance in prokaryotes and yeast. Antioxid Redox Signal. 2013;19(9):933–44. doi: 10.1089/ars.2012.5093 [PMC free article] [PubMed]
56. Troxell B, Xu H, Yang XF. Borrelia burgdorferi, a pathogen that lacks iron, encodes manganese-dependent superoxide dismutase essential for resistance to streptonigrin. The Journal of biological chemistry. 2012;287(23):19284–93. Epub 04/14. doi: 10.1074/jbc.M112.344903 [PMC free article] [PubMed]
57. Aguirre JD, Clark HM, McIlvin M, Vazquez C, Palmere SL, Grab DJ, et al. A manganese-rich environment supports superoxide dismutase activity in a Lyme disease pathogen, Borrelia burgdorferi. The Journal of biological chemistry. 2013;288(12):8468–78. Epub 02/05. doi: 10.1074/jbc.M112.433540 [PMC free article] [PubMed]
58. Archibald FS, Fridovich I. Manganese and defenses against oxygen toxicity in Lactobacillus plantarum. Journal of bacteriology. 1981;145(1):442–51. [PMC free article] [PubMed]
59. Rhee HJ, Kim EJ, Lee JK. Physiological polyamines: simple primordial stress molecules. J Cell Mol Med. 2007;11(4):685–703. doi: 10.1111/j.1582-4934.2007.00077.x [PMC free article] [PubMed]
60. Peng T, Berghoff BA, Oh JI, Weber L, Schirmer J, Schwarz J, et al. Regulation of a polyamine transporter by the conserved 3' UTR-derived sRNA SorX confers resistance to singlet oxygen and organic hydroperoxides in Rhodobacter sphaeroides. RNA Biol. 2016:0. [PMC free article] [PubMed]
61. Chonoles Imlay KR, Korshunov S, Imlay JA. Physiological roles and adverse effects of the two cystine importers of Escherichia coli. Journal of bacteriology. 2015;197(23):3629–44. doi: 10.1128/JB.00277-15 [PMC free article] [PubMed]
62. Vergauwen B, Pauwels F, Vaneechoutte M, Van Beeumen JJ. Exogenous glutathione completes the defense against oxidative stress in Haemophilus influenzae. Journal of bacteriology. 2003;185(5):1572–81. doi: 10.1128/JB.185.5.1572-1581.2003 [PMC free article] [PubMed]
63. Deka RK, Brautigam CA, Biddy BA, Liu WZ, Norgard MV. Evidence for an ABC-type riboflavin transporter system in pathogenic spirochetes. MBio. 2013;4(1):e00615–12. doi: 10.1128/mBio.00615-12 [PMC free article] [PubMed]
64. Caimano MJ, Dunham-Ems S, Allard AM, Cassera MB, Kenedy M, Radolf JD. Cyclic di-GMP modulates gene expression in Lyme disease spirochetes at the tick-mammal interface to promote spirochete survival during the blood meal and tick-to-mammal transmission. Infection and immunity. 2015;83(8):3043–60. doi: 10.1128/IAI.00315-15 [PMC free article] [PubMed]
65. Kawabata H, Norris SJ, Watanabe H. BBE02 disruption mutants of Borrelia burgdorferi B31 have a highly transformable, infectious phenotype. Infection and immunity. 2004;72(12):7147–54. Epub 11/24. doi: 10.1128/IAI.72.12.7147-7154.2004 [PMC free article] [PubMed]
66. Khajanchi BK, Odeh E, Gao L, Jacobs MB, Philipp MT, Lin T, et al. Phosphoenolpyruvate phosphotransferase system components modulate gene transcription and virulence of Borrelia burgdorferi. Infection and immunity. 2015;84(3):754–64. doi: 10.1128/IAI.00917-15 [PMC free article] [PubMed]
67. Esteve-Gassent MD, Smith TC 2nd, Small CM, Thomas DP, Seshu J. Absence of sodA increases the levels of oxidation of key metabolic determinants of Borrelia burgdorferi. PloS one. 2015;10(8):e0136707 doi: 10.1371/journal.pone.0136707 [PMC free article] [PubMed]
68. Crandall H, Ma Y, Dunn DM, Sundsbak RS, Zachary JF, Olofsson P, et al. Bb2Bb3 regulation of murine Lyme arthritis is distinct from Ncf1 and independent of the phagocyte nicotinamide adenine dinucleotide phosphate oxidase. The American journal of pathology. 2005;167(3):775–85. Epub 08/30. doi: 10.1016/S0002-9440(10)62050-0 [PubMed]
69. Hyde JA, Weening EH, Skare JT. Genetic transformation of Borrelia burgdorferi. Current protocols in microbiology. 2011;Chapter 12:Unit 12C.4. Epub 03/15. [PMC free article] [PubMed]
70. Samuels DS. Electrotransformation of the spirochete Borrelia burgdorferi. Methods in molecular biology (Clifton, NJ). 1995;47:253–9. Epub 01/01. [PubMed]
71. Labandeira-Rey M, Skare JT. Decreased infectivity in Borrelia burgdorferi strain B31 is associated with loss of linear plasmid 25 or 28–1. Infection and immunity. 2001;69(1):446–55. doi: 10.1128/IAI.69.1.446-455.2001 [PMC free article] [PubMed]
72. Klein BA, Tenorio EL, Lazinski DW, Camilli A, Duncan MJ, Hu LT. Identification of essential genes of the periodontal pathogen Porphyromonas gingivalis. BMC genomics. 2012;13:578 Epub 11/02. doi: 10.1186/1471-2164-13-578 [PMC free article] [PubMed]
73. Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Cech M, et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic acids research. 2016. [PMC free article] [PubMed]
74. Priem S, Rittig MG, Kamradt T, Burmester GR, Krause A. An optimized PCR leads to rapid and highly sensitive detection of Borrelia burgdorferi in patients with Lyme borreliosis. J Clin Microbiol. 1997;35(3):685–90. [PMC free article] [PubMed]
75. Petnicki-Ocwieja T, DeFrancesco AS, Chung E, Darcy CT, Bronson RT, Kobayashi KS, et al. Nod2 suppresses Borrelia burgdorferi mediated murine Lyme arthritis and carditis through the induction of tolerance. PloS one. 2011;6(2):e17414 doi: 10.1371/journal.pone.0017414 [PMC free article] [PubMed]
76. Hodzic E, Feng S, Barthold SW. Assessment of transcriptional activity of Borrelia burgdorferi and host cytokine genes during early and late infection in a mouse model. Vector Borne Zoonotic Dis. 2013;13(10):694–711. doi: 10.1089/vbz.2012.1189 [PMC free article] [PubMed]
77. Robert X, Gouet P. Deciphering key features in protein structures with the new ENDscript server. Nucleic acids research. 2014;42(Web Server issue):W320–4. doi: 10.1093/nar/gku316 [PMC free article] [PubMed]

Articles from PLoS Pathogens are provided here courtesy of Public Library of Science